Addressing the Wave of Smart Healthcare Transformation: Focusing on Security, Data, and AI Governance
迎戰智慧醫療轉型浪潮聚焦資安、資料與AI治理 - 蕃新聞
Summary
At a seminar held by Taiwan's private hospital association, Mr. Lin Yu-Xiang highlighted challenges in the digital healthcare environment regarding information integration, data utilization, security, and AI use. He emphasized the need for establishing data governance and Zero Trust security strategies based on international standards (FHIR).
Details
During a seminar hosted by the Taiwan Private Hospital Association, titled 'Transformation and Sustainability Driven by Medical Information,' discussions focused on clinical information integration, data application, cybersecurity defense, and AI innovation. Lin Yu-Xiang of ZSG Consulting shared insights on generative AI applications and risk management in healthcare, addressing pain points like information integration, access control, and compliance pressure. The rapid adoption of AI brings opportunities (e.g., improved diagnostic accuracy) but also significant risks. The article details six major cybersecurity threats facing modern healthcare, including ransomware attacks during critical periods, exploiting cloud misconfigurations (AWS, Azure, GCP), and sophisticated phishing using LLMs. To counter these threats, experts stressed the need to break down 'data silos' and improve interoperability. Solutions include establishing data governance compliant with international standards like FHIR; strengthening security through Zero Trust architecture for granular access control; and building AI governance frameworks based on global standards such as ISO 42001. These efforts align with Taiwan's government 'Healthy Taiwan Deepening Plan,' which mandates comprehensive responses across three pillars: cybersecurity governance, data governance, and AI governance. The goal is to ensure a compliant, secure, and sustainable smart healthcare environment.
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